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Do not write BJData ndarrays whose size overflows std::size_t (#5362)
* Do not write BJData ndarrays whose size overflows std::size_t
write_bjdata_ndarray() multiplied the _ArraySize_ dimensions into a
std::size_t without checking for overflow. A product that wraps around
to a value that happens to match the size of _ArrayData_ passed the
length check, and the writer emitted an ndarray header announcing an
element count that cannot be represented:
{"_ArrayType_":"uint8","_ArraySize_":[9223372036854775808,2],"_ArrayData_":[]}
was encoded as 5b 24 55 23 5b 4d 00 00 00 00 00 00 00 80 69 02 5d, an
ndarray of 2^64 elements followed by no data. Reading that back throws
out_of_range.408 ("excessive ndarray size caused overflow"), so to_bjdata
produced output that from_bjdata rejects. This is reachable by parsing
untrusted JSON and re-encoding it as BJData.
Mirror the overflow check the binary reader already performs, and also
reject a single dimension that does not fit into std::size_t, which the
previous cast silently truncated where std::size_t is narrower than 64
bits. Such objects now fall back to a plain object encoding, which is
what the surrounding type and length validation already does for
annotations it cannot represent, and they round-trip unchanged.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
* Document when to_bjdata converts a JData annotation to an ND-array
The BJData page described the 1-D vector case as the only situation in
which an object carrying _ArrayType_/_ArraySize_/_ArrayData_ is not
written as a compact ND-array. The writer has always had several other
fallbacks -- an unknown _ArrayType_, a dimension that is not a
non-negative integer, an _ArrayData_ whose length does not match the
product of the dimensions, and elements that are not numbers of the
annotated kind -- all of which cause the value to be serialized as a
regular JSON object instead.
Spell out the conditions, including the size-overflow check added in the
preceding commit, so the documented behavior matches the implementation.
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
---------
Signed-off-by: Niels Lohmann <mail@nlohmann.me>
This commit is contained in:
@@ -2730,6 +2730,27 @@ TEST_CASE("BJData")
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CHECK(json::from_bjdata(json::to_bjdata(j_type), true, true) == j_type);
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CHECK(json::from_bjdata(json::to_bjdata(j_size), true, true) == j_size);
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}
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SECTION("ndarray whose dimensions overflow stays as object")
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{
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// the product of the dimensions wraps around std::size_t to 0
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// and so matches the size of the empty _ArrayData_; writing this
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// as an ndarray would announce an element count no reader can
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// honor, so it has to stay a plain object
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json j_overflow = json({{"_ArrayData_", json::array()}, {"_ArraySize_", {9223372036854775808ull, 2}}, {"_ArrayType_", "uint8"}});
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CHECK(json::from_bjdata(json::to_bjdata(j_overflow), true, true) == j_overflow);
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// a single dimension that does not fit into std::size_t is
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// rejected for the same reason (only observable where
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// std::size_t is narrower than 64 bit)
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json j_huge = json({{"_ArrayData_", json::array()}, {"_ArraySize_", {18446744073709551615ull}}, {"_ArrayType_", "uint8"}});
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CHECK(json::from_bjdata(json::to_bjdata(j_huge), true, true) == j_huge);
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// a well-formed ndarray is still encoded as one
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json j_ok = json({{"_ArrayData_", {1, 2, 3, 4, 5, 6}}, {"_ArraySize_", {2, 3}}, {"_ArrayType_", "uint8"}});
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CHECK(json::to_bjdata(j_ok) == std::vector<uint8_t>({'[', '$', 'U', '#', '[', 'i', 2, 'i', 3, ']', 1, 2, 3, 4, 5, 6}));
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CHECK(json::from_bjdata(json::to_bjdata(j_ok), true, true) == j_ok);
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}
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}
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}
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